badmf.sims.radial: Radial Simulation

In ebridge2/badmf: Bayesian Decision-Making Forests (BaD-MFs)

Description

A function to simulate data with the same mean with radial symmetry as class id increases.

Usage

badmf.sims.radial(n, d, K, er.scale = 0.1, r = 1, class.equal = TRUE,
  ind = FALSE)

Arguments

n	the number of samples.
d	the number of dimensions.
K	the number of classes in the dataset.
er.scale	the scaling for the error of the samples. Defaults to 0.1.
r	the radial spacing between each class. Defaults to 1.
class.equal	whether the number of samples/class should be equal, with each class having a prior of 1/K, or inequal, in which each class obtains a prior of k/sum(K) for k=1:K. Defaults to TRUE.
ind	whether to sample x and y independently. Defaults to FALSE.

Author(s)

Eric Bridgeford

Examples

library(badmf)
sim <- badmf.sims.radial(100, 3, 2)

ebridge2/badmf documentation built on June 4, 2019, 8:53 a.m.